Product Manager - Digital Engagement

Valley National Bank; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

Valley National Bank is seeking a Product Manager to own the strategy and roadmap for digital banking experiences in New York. You will align initiatives with business goals and customer needs while coordinating with cross-functional teams to deliver impactful features.

You will define KPIs, use data and AI to drive personalization and efficiency, translate business needs into user stories, and continuously optimize through Agile experimentation, collaborating with technology, design, and

Responsibilities

• Own product strategy and roadmap, aligning initiatives to business goals, customer needs, and performance insights.
• Manage end-to-end digital experiences, prioritizing usability, conversion, engagement, and efficiency.
• Define and track KPIs (adoption, conversion, activation, engagement, satisfaction) and use data to guide decisions.
• Leverage data and AI insights to drive personalization, automation, and better outcomes.
• Translate business needs into product requirements with user stories, acceptance criteria, and backlog priorities.
• Partner with tech and design teams to deliver high-quality, scalable solutions in Agile.
• Drive optimization through experiments (A/B testing) and iterative learning.
• Collaborate with stakeholders to align with business, regulatory, risk and operational requirements.
• Be the voice of the customer to ensure intuitive, integrated solutions.
• Evaluate emerging tech such as AI and automation to boost functionality and efficiency.
• Monitor post-launch performance to identify issues, risks, and opportunities for improvement.

Job description

Responsibilities include but are not limited to:

• Own product strategy and roadmap, aligning initiatives to business goals, customer needs, and performance insights.
• Manage end-to-end digital experiences, identifying and prioritizing improvements that enhance usability, conversion, engagement, and efficiency.
• Define and track key performance metrics (e.g., adoption, conversion, activation, engagement, satisfaction) and use data to inform decisions.
• Leverage data and AI-driven insights to identify opportunities for personalization, automation, and improved customer outcomes.
• Translate business needs into product requirements, including user stories, acceptance criteria, and backlog prioritization.
• Partner with technology and design teams to deliver high-quality, scalable solutions in an agile environment.
• Drive ongoing optimization, including experimentation (A/B testing), iterative improvements, and continuous learning.
• Collaborate across stakeholders to ensure alignment with business, regulatory, risk, and operational requirements.
• Act as the voice of the customer, ensuring solutions are intuitive, integrated, and aligned to customer expectations.
• Evaluate emerging technologies, including AI and automation capabilities, to enhance product functionality and operational efficiency.
• Monitor product performance post-launch, identifying issues, risks, and opportunities to improve outcomes.